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skill-knowledge-bordnetz-vobes

Answer Bordnetz questions by querying the local_rag knowledge base.

Updated Aug 27, 2026
Search Tags:#jira#confluence#knowledge-base#retrieval-augmented-generation#bordnetz#vobes-2025#local_rag
One-click install
npx skills add https://github.com/tobiascm/vobes-agent-vscode --skill skill-knowledge-bordnetz-vobes
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: skill-knowledge-bordnetz-vobes
Source: https://github.com/tobiascm/vobes-agent-vscode/tree/main/.agents/skills/skill-knowledge-bordnetz-vobes
Command: npx skills add https://github.com/tobiascm/vobes-agent-vscode --skill skill-knowledge-bordnetz-vobes

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Nutze den Local RAG Ansatz, um fachliche Bordnetz- und VOBES-2025-Fragen evidenzbasiert zu beantworten, indem relevante Informationen aus der internen Knowledge Base systematisch abgerufen und geprüft werden.

Core Features & Use Cases

  • Zugriff auf eine Knowledge Base über local_rag, um präzise Antworten zu technischen Spezifikationen, Prozessen, Datenmodellen und Confluence/Jira-Inhalten zu liefern.
  • Geeignet für Fragen zu Spezifikationen, Prozessabläufen, Datenmodellen und Artefakten rund um VOBES 2025; unterstützt Documentation-Entscheidungen und Recherchearbeiten.
  • Bereitstellung nachvollziehbarer Antworten mit Quellenverweisen, falls vorhanden, und fallbasierten Kontexten zur weiteren Recherche.

Quick Start

Pose eine Bordnetz- oder VOBES-Frage und lasse das System evidenzbasierte Ergebnisse aus dem lokalen Wissensspeicher liefern.

Frequently Asked Questions about skill-knowledge-bordnetz-vobes

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I get evidence-based answers for Bordnetz technical specifications?▼

Evidence-based Bordnetz answers are generated by querying a local_rag knowledge base that retrieves internal documentation, providing responses with source references for verification.

What is the best way to retrieve VOBES 2025 process data without searching Confluence manually?▼

Retrieving VOBES 2025 data is handled by querying local_rag, which serves as the primary retrieval source and only falls back to Confluence or Jira when local context is insufficient.

Can I use local_rag to answer questions about Jira and Confluence content?▼

Yes, local_rag answers questions about Jira and Confluence content, calling those platforms directly only when the locally indexed context lacks sufficient information to respond.

Does the local_rag approach provide source references for VOBES 2025 data models?▼

Yes, the local_rag approach provides source references for VOBES 2025 data models, delivering traceable answers that include citations and case-based context for further research.

When should I not rely on local_rag for Bordnetz documentation research?▼

You should not rely solely on local_rag when its indexed knowledge base lacks recent updates, as the system must then fetch live data from Confluence or Jira to ensure accuracy.

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